Additionally, there are two regularization losses using the triplet margin loss \(l_m\)  from [1]}. The first \(L_C\)  enforces the compositionality of the latent space by ensuring that the sum of the embeddings for partial completion (\(u_{0:t}\) ) and the embedded to-do vector (\(u_{t:T}\) ) are equal to the embedding for the entire task (\(u_{0:T}\) ).
